Papers
176,624 papers found
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
Zhejun Zhang, Peter Karkus, Maximilian Igl et al.
Closed-Loop Transfer for Weakly-supervised Affordance Grounding
Jiajin Tang, Zhengxuan Wei, Ge Zheng et al.
Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery
Luke Moffett, Bhuwan Dhingra
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders
Jian Meng, Ahmed Hasssan, Li Yang et al.
Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset
Maksim Golyadkin, Ianis Plevokas, Ilya Makarov
CLOT: Closed Loop Optimal Transport for Unsupervised Action Segmentation
Elena Bueno-Benito, Mariella Dimiccoli
ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
Quang Hieu Pham, Thuy Duong Nguyen, Tung Pham et al.
CLRG@FinCausal2025: Cause-Effect Extraction in Finance Domain
Vibhavkrishnan K S, Pattabhi RK Rao, Sobha Lalitha Devi
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
Jan Ackermann, Jonas Kulhanek, Shengqu Cai et al.
ClubHeap: A High-Speed and Scalable Priority Queue for Programmable Packet Scheduling
Zhikang Chen, Haoyu Song, Zhiyu Zhang et al.
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
Hao Chen, Yukun Yan, Sen Mei et al.
CluSanT: Differentially Private and Semantically Coherent Text Sanitization
Ahmed Musa Awon, Yun Lu, Shera Potka et al.
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
Baohao Liao, Christian Herold, Seyyed Hadi Hashemi et al.
ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering
Minwei Zhang, Haifeng Sun, Jingyu Wang et al.
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
Xianda Wang, Yaqi Qiao, Duo Wu et al.
Cluster-guided Contrastive Class-imbalanced Graph Classification
Wei Ju, Zhengyang Mao, Siyu Yi et al.
Clustering by Mining Density Distributions and Splitting Manifold Structure
Zhichang Xu, Zhiguo Long, Hua Meng
Clustering LLM-based Word Embeddings to Determine Topics from Bangla Articles
Rifat Rahman, Mohammed Eunus Ali
Clustering LLM-based Word Embeddings to Determine Topics from Bangla Articles
Rifat Rahman, Mohammed Eunus Ali
Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A
Christopher T. Franck, Amy Vennos, W. Graham Mueller et al.
ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
Zige Wang, Qi Zhu, Fei Mi et al.
“Clutch or Cry” Team at TRACS @ WASP2025: A Hybrid Stacking Ensemble for Astrophysical Document Classification
Arshad Khatib, Aayush Prasad, Rudra Trivedi et al.